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the argument is that model becomes something similar to social media, where the commoditiy was never the product.


Yeah, and also the capabilities are starting to plateau. So I feel like the market will be flooded with a 100 Anthropic like providers giving out models.

The true cost/token is something that I am still wondering about. The most expensive chinese model costs $3 per input to run. And we still have massive markup from the american closed source model companies.

I agree that money will run out. But what will policy do?


I'm looking for feedback on the tool and what you would like to see in the future!


Hi, would love to try this out. However, i can't seem to find the link!


if you just click the post it should take you there, but here it is again just in case: https://www.josh.ing/howisee


1. we lose some jobs

2. we realize that human decisions cannot be handed out to agents, there needs to be some intent behind it.

3. we go back to doing more work

4. we wait for ASU


After 5.5, I basically don't notice a jump in model performance, other than my usage ending sooner.


I do.

The results are less buggy, animations are much better.

It can work autonomously for hours and the result is decent most of the time.

That wasn't usually the case with 5.5, which needed more feedback and iterations to get things right.


Felt the same until I started using Luna. I feel like I get similar performance, but faster, and my usage lasts so much longer.


Yup, GPT-5.6 Luna was a checkpoint for me. Too good for its price.


Astra is noticeably smarter than any OpenAI model before it. Sol 6.1 is very noticeably smarter than sol 6 even after half a day of using it (sol 6 was actually terra 6 and opus 5.5 has taken them by a total complete surprise)


none of them is smart.


define smart


Kinda same but I miss my 5.3 Codex. Thing lasted forever on my $20 subscription and with detailed prompts was able to pretty much implement everything I requested it to do with a acceptable quality.


It's the same for most tasks. Where I do notice it is long agent runs, where agents take more steps and the performance difference definitely compounds over the iterations.


Same. 5.5 got work done then 5.6 was also fine then 6 was maybe not quite as good. Now with 6.1 they are cutting usage and raising prices and introducing ultra fast mode, but things were good enough 5 months ago.


Because you're probably using it for stuff like "edit this function"/"refactor this class". 5.5 to 5.6 Sol was a giant jump. 5.6 to 6.1 seems very large as well.


Meanwhile Fable 5 and Opus 5.5 are in a different league.


it's basically their answer to the cool gamified version grok has


There shouldn't be a difference, no AI tool is responsibile for damage done to end customers.


Makes sense...


here is a production grade solution I made. I was doing AI courses for kids and this was benifitial to do collab sessions between chatgpt and claude. It also sync's their memory automatically. Check it out: https://tallei.com


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